NoSQL is a type of database that stores and retrieves data without needing to define its structure first – an alternative to the more rigid relational databases. NoSQL are non tabular, and store data differently than relational tables. It should be noted that NoSQL databases can store relationship data—they just store it differently than relational databases do. That should clear the misconception that NoSQL databases or non-relational databases don’t store relationship data well. Source: MongoDB Site
Types of NoSQL Database
- Document Databases: They usually pair each key with a complex data structure also known as a document. Examples of NoSQL in this category are MongoDB, Apache CouchDB, Raven DB and others.
- Key-value stores: In this group, every item in it is stored as a Key-value pair. Examples include Apache Ignite,Redis, Riak, Memcached.
- Wide-column stores: These store columns of data together. The reason for this that they are optimized for queries over huge datasets. Examples include Cassandra, Hbase, Scylla.
- Graph stores: They include Neo4j, AllegroGraph.
Advantages of NoSQL databases
The following are some of the advantages that you will enjoy while using NoSQL databases.
- They are wonderful at handling large volumes of data at high speed with a scale-out architecture
- NoSQL databases store unstructured, semi-structured, or structured data
- NoSQL databases enable easy updates to schemas and fields
- NoSQL databases are developer-friendly
After such an acquaintance, we bet you would wish to learn more about this new NoSQL paradigm. In order to go through it in a smooth and enjoyable manner, this article does a book hunting and gives you some of them that you may consider as your study companion. They include the following:
1. SQL & NoSQL Databases
Author Andreas Meier specializes in electronic business, electronic government, and information management. Michael Kaufmann is a Professor of Data Science and Big Data at the School of Information Technology, Lucerne University of Applied Sciences and Arts.
This book introduces readers to the field of relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The main topics covered are data management, data modeling, query and manipulation languages, consistency, privacy and security, system architectures and multi-user operation. It also provides an overview of post-relational and non-relational database systems.
In addition to classic concepts, important aspects of NoSQL databases are discussed, such as map/reduce, distribution options (fragments, replication), and the CAP theorem (Consistency, Availability, and Partition tolerance). The book will benefit students looking for an introduction to the area of SQL and NoSQL databases, as well as practitioners, helping them better understand the strengths and weaknesses of relational and non-relational approaches and developments in connection with big data applications.
Pick this book, get up to speed, learn and set yourself apart today. Have a look at it from Amazon below.
2. Data Modeling With NoSQL Database
Authors Ajit Singh, and Sultan Ahmad collaborate to bring their readers this text that tackles an area that can be challenging during the application development process. They bring the force of their combined minds to simplify data modelling so that the process of developing your applications is as clear, smooth and simple as you can afford.
Data modeling has an important role to play in NoSQL environments. The data modeling process involves the creation of a diagram that represents the meaning of the data and the relationship between the data elements. Thus, understanding is a fundamental aspect of data modeling and a pattern for this kind of representation has few contributions for NoSQL databases.
This book explains a NoSQL data modeling standard, introducing modeling techniques that can be used on document-oriented databases. The authors have considered Cassandra and Riak NoSQL databases because of the heterogeneous characteristics of each NoSQL database classification.
Join the authors of this text as you anticipate to understand and demystify Data Modelling using NoSQL Database. It is a classic read. Click on the link provided to order your copy from Amazon.
3. Database Internals
Alex, the author is a data infrastructure engineer, database and storage systems enthusiast, Apache Cassandra committer and PMC member, interested in storage, distributed systems and algorithms. In this exquisite text, the author targets readers with some experience with developing backend systems and working with database systems as a user.
As a subject matter expert, the author knows it so well that when it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it is often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.
This book examines:
- Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each
- Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log
- Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns
- Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
This book will help people who build software that uses database systems: software developers, reliability engineers, architects, curious minds and engineering managers. If you fall in any of those categories, there is a lot of amazing material that you will glean from Alex. Steal your copy from Amazon by clicking on the link below.
4. MongoDB: The Definitive Guide
MongoDB is a free to use document NoSQL database with the scalability and flexibility that you want with the querying and indexing that you need. This text teaches you how to Manage your data with a system designed to support modern application development. Updated for MongoDB 4.2, the third edition of this authoritative and accessible guide shows you the advantages of using document-oriented databases. You will learn how this secure, high-performance system enables flexible data models, high availability, and horizontal scalability.
Authors Shannon Bradshaw, Eoin Brazil, and Kristina Chodorow provide guidance for database developers, advanced configuration for system administrators, and use cases for a variety of projects. NoSQL newcomers and experienced MongoDB users will find updates on querying, indexing, aggregation, transactions, replica sets, ops management, sharding and data administration, durability, monitoring, and security.
This book shows you how to:
- Work with MongoDB, perform write operations, find documents, and create complex queries
- Index collections, aggregate data, and use transactions for your application
- Configure a local replica set and learn how replication interacts with your application
- Set up cluster components and choose a shard key for a variety of applications
- Explore aspects of application administration and configure authentication and authorization
- Use stats when monitoring, back up and restore deployments, and use system settings when deploying MongoDB
There is no way you can miss out on this exploding database that every organization is opting to use as they migrate or start out in the cloud. With the numerous benefits it comes with, MongoDB’s force cannot be ignored. Place an order for your copy to be delivered from Amazon on the link next.
5. NoSQL for Mere Mortals
Dan Sullivan is a data architect and data scientist with more than 25 years of experience in business intelligence, machine learning, data mining, text mining, Big Data, data modeling, and application design.
This book by Dan Sullivan guides you through solving real problems with NoSQL and achieving unprecedented scalability, cost efficiency, flexibility, and availability.
Drawing on 20+ years of cutting-edge database experience, Dan Sullivan explains the advantages, use cases, and terminology associated with all four main categories of NoSQL databases: key-value, document, column family, and graph databases. For each, he introduces pragmatic best practices for building high-value applications. Through step-by-step examples, you will discover how to choose the right database for each task, and use it the right way.
Coverage includes
- Getting started: What NoSQL databases are, how they differ from relational databases, when to use them, and when not to Data management principles and design criteria: Essential knowledge for creating any database solution, NoSQL or relational
- Key-value databases: Gaining more utility from data structures
- Document databases: Schemaless databases, normalization and denormalization, mutable documents, indexing, and design patterns
- Column family databases: Google’s BigTable design, table design, indexing, partitioning, and Big Data
- Graph databases: Graph/network modeling, design tips, query methods, and traps to avoid
The Mere Mortals ® tutorials have earned worldwide praise as the clearest, simplest way to master essential database technologies. Whether you are a database developer, data modeler, database user, or student, learning NoSQL can open up immense new opportunities using the clearest, and simplest way. You can access this book by ordering it from Amazon below and begin your journey to the immense opportunities awaiting.
6. Next Generation Databases
This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications.
Author Guy Harrison in this resource demystifies today’s new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects.
In a nutshell, the book:
- Introduces the new technologies that have revolutionized the database landscape
- Describes how each technology can be used to solve specific application or business challenges
- Reviews the most popular new wave databases and how they use these new database technologies
Guy Harrison has worked with database technologies for more than 30 years and hence has a deep background in modern databases from both industry and academic aspects. You can depend on his experience and expertise as an enterprise architect, database administrator, or developer. Pick on his skillsets and maybe you can learn one thing or two about the next generation of databases. You can find his work in Amazon from the link provided below.
7. MongoDB in Action
Written for developers without any previous MongoDB or NoSQL experience assumed, MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB and the document-oriented database model. This perfectly paced book gives you both the big picture you will need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You’ll also love the deep explanations of each feature, including replication, auto-sharding, and deployment.
What is Inside
- Indexes, queries, and standard DB operations
- Aggregation and text searching
- Map-reduce for custom aggregations and reporting
- Deploying for scale and high availability
- Updated for Mongo 3.0
The authors of this resource (Kyle Banker, Peter Bakkum, Shaun Verch, Doug Garrett and Tim Hawkins) have solid experience with MongoDB and they all share something their readers will benefit from. With the combination of five minds, readers will pick from a diverse set of experience and teaching style that will in the end work out to enrich their studying experience. Pick MongoDB in Action from Amazon and get it delivered from the link below.
8. Mastering MongoDB 4.x
This text by Alex Giamas is written for MongoDB developers and database administrators who want to become successful MongoDB experts and build scalable and fault-tolerant applications. This book will help you gain expertise in advanced and niche areas of managing databases (such as modeling and querying databases). You will also get to grips with different administration techniques in MongoDB.
Next, the book will guide you through the working of MongoDB’s latest features and capabilities with the help of some interesting examples and large datasets. You will then get up to speed with niche areas such as high-performance configurations, optimizing SQL statements, and configuring large-scale sharded clusters. Toward the concluding chapters, you will master best practices for overcoming database failover, along with learning recovery and backup procedures for database security.
By the end of this book, you will have gained a practical understanding of administering database applications both on-premise and on the cloud, along with the skills you need to scale database applications across servers.
What you will learn
- Perform advanced querying techniques such as indexing and expressions
- Configure, monitor, and maintain a highly scalable MongoDB environment
- Master replication and data sharding to optimize read/write performance
- Administer MongoDB-based applications on-premise and in the cloud
- Integrate MongoDB with big data sources to process huge amounts of data
- Deploy MongoDB on Kubernetes containers
- Use MongoDB in IoT, mobile, and serverless environments
For the readers, an understanding of MongoDB and basic database concepts is required to get the most out of this book. Anyhow, there is a lot to glean, to learn and practice. You can find more details and order a copy for your home library from Amazon, click the link below.
9. NoSQL Databases A Complete Guide
Considering the surge in interest in NoSQL databases, application developers, data engineers and database administrators need to revamp their skills in this new era of big data. This one-of-a-kind NoSQL Databases self-assessment by author Gerardus Blokdyk will make you the dependable NoSQL Databases domain expert by revealing just what you need to know to be fluent and ready for any NoSQL Databases challenge.
Acclaimed best-selling author Blokdyk ensures all NoSQL Databases essentials are covered, from every angle: the NoSQL Databases self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that NoSQL Databases outcomes are achieved.
It contains extensive criteria grounded in past and current successful projects and activities by experienced NoSQL practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in NoSQL are maximized with professional results.
You can add this companion guide in your pocket as you embark on getting to the bottom of NoSQL databases. Add it in your catalogue from Amazon from the link below and enjoy your learning experience.
Concluding Words
NoSQL databases have many advantages especially in the current dispensation where there is an explosion of data. They were created in the late 2000s in response to the limitations of traditional relational database technology. When compared to relational databases, NoSQL databases are often more scalable and provide superior performance. In addition, the flexibility and ease of use of their data models can speed development in comparison to the relational model, especially in the cloud computing environment. Source: MongoDB Site.
With a focus on scaling, fast queries, allowing for frequent application changes, and making programming simpler for developers, you can give MongoDB as one f the NoSQL databases and monitor the difference you will experience. As a final remark, we are grateful for your continues support and we appreciate your visit on this site. For more articles containing resources, check the list provided next.
